File Exchange

image thumbnail

PythagoreanForest

version 1.3.1 (810 KB) by Charles M. Bélanger Nzakimuena
Display of learned decision tree models from Random Forest as Pythagoras trees

5 Downloads

Updated 31 May 2020

GitHub view license on GitHub

PythagoreanForest is a MATLAB implementation of the Pythagorean Forest which displays learned decision tree models from Random Forest as Pythagoras trees.

The Pythagorean Forest is described in:

P. G. Poličar, "Pitagorejska drevesa za vizualizacijo klasifikacijskih in regresijskih dreves," Univerza v Ljubljani, 2016.

Cite As

C. B. Nzakimuena, "Automated analysis of retinal and choroidal OCT and OCTA images in AMD," Polytechnique Montréal, 2020

Comments and Ratings (1)

Alexandre Abid

Updates

1.3.1

See release notes for this release on GitHub: https://github.com/cnzakimuena/PythagoreanForest/releases/tag/v1.3.1

1.3.0

See release notes for this release on GitHub: https://github.com/cnzakimuena/PythagoreanForest/releases/tag/v1.3.0

1.2

See release notes for this release on GitHub: https://github.com/cnzakimuena/PythagoreanForest/releases/tag/v1.2

1.1

See release notes for this release on GitHub: https://github.com/cnzakimuena/PythagoreanForest/releases/tag/v1.1

MATLAB Release Compatibility
Created with R2018a
Compatible with any release
Platform Compatibility
Windows macOS Linux

subFunctions

subFunctions/Pythagor_tree/pythagorFunctions

subFunctions/Pythagor_tree/pythagorFunctions/ScreenCapture

subFunctions/Pythagor_tree/pythagorFunctions/darkBackground

subFunctions/random_forests_generic/random_forests_generic

subFunctions/rgb

subFunctions/vtshitoyan-plotConfMat-1787253

subFunctions/random_forests_generic/random_forests_generic